A survey and classification of visualisation in multiscale biomedical applications

Nigel McFarlane; Xiangyin Ma; Gordon Clapworthy; Nik Bessis; Debora Testi

doi:10.1109/IV.2012.95

A survey and classification of visualisation in multiscale biomedical applications

Nigel McFarlane
, Xiangyin Ma
, Gordon Clapworthy
, Nik Bessis
, Debora Testi

Institute for Research in Applicable Computing (IRAC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

The MSV project aims to survey current best practice in multiscale visualisation and to construct a software toolkit which will make multiscale techniques readily accessible to biomedical researchers and clinicians. In this paper, current methods for multiscale data visualisation in several domains are reviewed, and a novel classification of multiscale techniques for biomedical applications by function is proposed. The classification will form the basis of a design menu and toolkit for multiscale visualisation.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467322607
ISBN (Print)	9781467322607
DOIs	https://doi.org/10.1109/IV.2012.95
Publication status	Published - 11 Jul 2012
Event	2012 16th International Conference on Information Visualisation - Duration: 11 Jul 2012 → …

Conference

Conference	2012 16th International Conference on Information Visualisation
Period	11/07/12 → …
Other	2012 16th International Conference on Information Visualisation

Keywords

visualisation

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10.1109/IV.2012.95

http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm%3Farnumber%3D6295871

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title = "A survey and classification of visualisation in multiscale biomedical applications",

abstract = "The MSV project aims to survey current best practice in multiscale visualisation and to construct a software toolkit which will make multiscale techniques readily accessible to biomedical researchers and clinicians. In this paper, current methods for multiscale data visualisation in several domains are reviewed, and a novel classification of multiscale techniques for biomedical applications by function is proposed. The classification will form the basis of a design menu and toolkit for multiscale visualisation.",

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AU - Clapworthy, Gordon

AU - Bessis, Nik

AU - Testi, Debora

PY - 2012/7/11

Y1 - 2012/7/11

N2 - The MSV project aims to survey current best practice in multiscale visualisation and to construct a software toolkit which will make multiscale techniques readily accessible to biomedical researchers and clinicians. In this paper, current methods for multiscale data visualisation in several domains are reviewed, and a novel classification of multiscale techniques for biomedical applications by function is proposed. The classification will form the basis of a design menu and toolkit for multiscale visualisation.

AB - The MSV project aims to survey current best practice in multiscale visualisation and to construct a software toolkit which will make multiscale techniques readily accessible to biomedical researchers and clinicians. In this paper, current methods for multiscale data visualisation in several domains are reviewed, and a novel classification of multiscale techniques for biomedical applications by function is proposed. The classification will form the basis of a design menu and toolkit for multiscale visualisation.

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U2 - 10.1109/IV.2012.95

DO - 10.1109/IV.2012.95

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Y2 - 11 July 2012

ER -

A survey and classification of visualisation in multiscale biomedical applications

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